Fig. 17 PSNR as a function of the resolution of the DCT and quantizer for different values of the quality factor Q. To be more specific, we investigated the relevance of the precision of the single modules DCT and quantization.
Fig. 11 Relevance feedback: evolution of P @20 for each iteration considering texture descriptors Fig. 12 Relevance feedback: comparison of precision × recall curves for texture descriptors before (t=0) and after 10 iterations (t=10).
Fig. 3 Relevance feedback: evolution of P @20 measure for each iteration considering shape descriptors Fig. 4 Relevance feedback: comparison of precision × recall curves for shape descriptors before (t=0) and after 10 iterations (t=10).
Fig. 7 Relevance feedback: evolution of P @20 measure for each iteration considering color descriptors Fig. 8 Relevance feedback: comparison of precision × recall curves for color descriptors before (t=0) and after 10 iterations (t=10).
The indicators were evaluated by the project team against criteria of relevance, precision, flexibility, and discriminating power.
According to [ 4], the UMLS algorithm performs better than ours (relevance of 92% vs. precision and recall of 81% and 93%).
The UMLS algorithm performed better than the algorithm we used (relevance of 92% vs. precision and recall of 81% and 93%) [ 6].
We were able to use the judgements of relevance to assess precision, calculated as the proportion of actually relevant records ("diagnosed positive", in screening terms) divided by the number of records that "tested positive" for relevance for that strategy.
Recently, a large, prospective study evaluating the clinical relevance of a chemoresponse assay (ChemoFx, Precision Therapeutics, Inc., Pittsburgh, PA, USA) in recurrent or persistent EOC was reported (Rutherford et al, 2013).
Taken together, tendon tissue engineering has now excellent foundations and enters the period of precision and translation to models with clinical relevance on which better treatment options of tendon injuries can be shaped up.
